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Fresh Grad Lands Job as Real Estate Agent With Help from Professional Writers

People go to websites to get the information they desperately need.  They could be looking for an answer to a nagging question.  They might be looking for help in completing an important task.  For recent graduates, they might be looking for ways on how to prepare a comprehensive resume that can capture the attention of the hiring manager

Manush is a recent graduate from a prestigious university in California who is looking for a job opportunity as a real estate agent.  While he already has samples provided by his friends, he still feels something lacking in his resume.  Specifically, the he believes that his professional objective statement lacks focus and clarity. 

Thus, he sought our assistance in improving editing and proofreading his resume. 

In revising his resume, iwritegigs highlighted his soft skills such as his communication skills, ability to negotiate, patience and tactfulness.  In the professional experience part, our team added some skills that are aligned with the position he is applying for.

When he was chosen for the real estate agent position, he sent us this thank you note:

“Kudos to the team for a job well done.  I am sincerely appreciative of the time and effort you gave on my resume.  You did not only help me land the job I had always been dreaming of but you also made me realize how important adding those specific keywords to my resume!  Cheers!

Manush’s story shows the importance of using powerful keywords to his resume in landing the job he wanted.

12KC Assessing Normality & Normal as Approximation to Binomial

Navigation   » List of Schools  »  Los Angeles Valley College  »  Math  »  Math 227 – Statistics  »  Spring 2023  »  12KC Assessing Normality & Normal as Approximation to Binomial

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Below are the questions for the exam with the choices of answers:

Question #1
STATDISK has the ability to test for normality using the normal quantile plot. The next question is designed to introduce you to this functions within STATDISK. For more information, please review the following tutorial. Always feel free to pause and/or restart the video.
Load the data set “AMATYC-NASA”–“Distance Moon-Earth” into STATDISK. Assess the normality of the “Distance” column data.
A  The normality assessment concludes that normality should fail to be rejected.
B  The normality assessment concludes that normality should be rejected.
Question #2
Acme’s widgets have a defect rate of 3%. Approximate/estimate the probability that between 5 and 18 widgets are broken in a 400-pack. (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.8517
B  0.9388
C  0.9181
D  0.9156
Question #3
Acme’s widgets have a defect rate of 3%. Find the standard deviation for the number of widgets that are broken in a 400-pack? (Round to the nearest ten-thousandth.)
A  3.3322
B  3.4117
C  3.5123
D  3.4219
Question #4
Acme’s widgets have a defect rate of 3%. When dealing with a 400-pack, may probabilities for the number of broken widgets be approximated/estimated using the Normal Distribution? Why, or why not?
A  np≥5 is a true statement.
Both of the requirements are met! The mean and standard deviation of the Binomial Distribution may be used for Normal Distribution calculations.
nq≥5 is a true statement.
B  Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
n≥100 is NOT a true statement.
np≤10 is a true statement.
C  np≤10 is NOT a true statement.
np≥5 is NOT a true statement.
Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
D  Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
n≥100 is a true statement.
nq≥5 is NOT a true statement.
Question #5
Acme’s widgets have a defect rate of 3%. When dealing with a 400-pack, may probabilities for the number of broken widgets be approximated/estimated using the Poisson Distribution? Why, or why not?
A  Both of the requirements are met! The mean of the Binomial Distribution may be used for Poisson Distribution calculations.
np≤10 is a true statement
nq≥5 is NOT a true statement.
B  np≤10 is NOT a true statement.
n≥100 is a true statement.
Both of the requirements are NOT met! The Poisson Distribution cannot be used to approximate the Binomial Disribution.
C  np≥5 is NOT a true statement.
np≥5 is a true statement.
Both of the requirements are met! The mean of the Binomial Distribution may be used for Poisson Distribution calculations.
D  nq≥5 is a true statement.
Both of the requirements are met! The mean of the Binomial Distribution may be used for Poisson Distribution calculations.
n≥100 is NOT a true statement.
Question #6
Acme’s widgets have a defect rate of 3%. Approximate/estimate the probability that 8 widgets are broken in a 200-pack using the Normal Distribution. (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.129
B  0.127
C  0.137
D  0.117
Question #7
Acme’s widgets have a defect rate of 3%. Approximate/estimate the probability that 8 widgets are broken in a 200-pack using the Poisson Distribution. (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.1088
B  0.1033
C  0.1133
D  0.1055
Question #8
Acme’s widgets have a defect rate of 3%. Find the probability that 8 widgets are broken in a 200-pack using the Binomial Distribution. (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.1033
B  0.1085
C  0.1043
D  0.1185
Question #9
Acme’s widgets have a defect rate of 3%. Find the standard deviation for the number of widgets that are broken in a 200-pack? (Round to the nearest ten-thousandth.)
A  2.1125
B  2.4125
C  3.4125
D  2.2122
Question #10
Acme’s widgets have a defect rate of 3%. When dealing with a 200-pack, may probabilities for the number of broken widgets be approximated/estimated using the Normal Distribution? Why, or why not?
A  Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
n≥100 is a true statement.
n≥100 is NOT a true statement.
B  n≥100 is a true statement.
np≤10 is NOT a true statement.
Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
C  Both of the requirements are met! The mean and standard deviation of the Binomial Distribution may be used for Normal Distribution calculations.
nq≥5 is a true statement.
np≥5 is a true statement.
D  Both of the requirements are NOT met! The Normal Distribution cannot be used to approximate the Binomial Disribution.
nq≥5 is NOT a true statement.
np≥5 is NOT a true statement.
Question #11
Acme’s widgets have a defect rate of 3%. When dealing with a 200-pack, may probabilities for the number of broken widgets be approximated/estimated using the Poisson Distribution? Why, or why not?
A  Both of the requirements are NOT met! The Poisson Distribution cannot be used to approximate the Binomial Disribution.
n≥100 is NOT a true statement.
nq≥5 is a true statement.
B  Both of the requirements are NOT met! The Poisson Distribution cannot be used to approximate the Binomial Disribution.
np≥5 is a true statement.
np≤10 is a true statement.
C  np≤10 is a true statement.
n≥100 is a true statement.
Both of the requirements are met! The mean of the Binomial Distribution may be used for Poisson Distribution calculations.
D  np≥5 is NOT a true statement.
np≤10 is NOT a true statement.
Both of the requirements are NOT met! The Poisson Distribution cannot be used to approximate the Binomial Disribution.
Question #12
Acme’s widgets have a defect rate of 3%. Would it be unusual to purchase a 12-pack containing 3 broken widgets?
A  Purchasing a 12-pack containing 3 broken widgets is unusual because the probability of 3 or more successes is 0.05 or less.
B  Purchasing a 12-pack containing 3 broken widgets is unusual because the probability of 3 or more successes is NOT 0.05 or less.
C  Purchasing a 12-pack containing 3 broken widget is unusual because the z-score of 3 is NOT between -2 and 2.
D  Purchasing a 12-pack containing 3 broken widget is unusual because the probability of 3 or fewer successes is 0.05 or less.
E  Purchasing a 12-pack containing 3 broken widget is NOT unusual because the probability of 3 or fewer successes is NOT 0.05 or less.
F  Purchasing a 12-pack containing 3 broken widgets is NOT unusual because the probability of 3 or more successes is 0.05 or less.
Question #13
Acme’s widgets have a defect rate of 3%. Find the standard deviation for the number of widgets that are broken in a 12-pack? (Round to the nearest ten-thousandth.)
A  0.4809
B  0.5819
C  0.5909
D  0.5627
Question #14
Acme’s widgets have a defect rate of 3%. Would 3 broken widgets in a 12-pack be significantly high?
A  3 broken widgets in a 12-pack would be significantly high because the z-score of 3 is NOT between -2 and 2.
B  3 broken widgets in a 12-pack would be significantly high because the probability of 3 or more successes is NOT 0.05 or less.
C  3 broken widgets in a 12-pack would NOT be significantly high because the probability of 3 or fewer successes is 0.05 or less.
D  3 broken widgets in a 12-pack would be significantly high because the probability of 3 or more successes is 0.05 or less.
E  3 broken widgets in a 12-pack would NOT be significantly high because the z-score of 3 is NOT between -2 and 2.
F  3 broken widgets in a 12-pack would NOT be significantly high because the probability of 3 or more successes is NOT 0.05 or less.
Question #15
Acme’s widgets have a defect rate of 3%. What is the probability that more than 2 widgets are broken in a 12-pack? (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.0038
B  0.0044
C  0.0048
D  0.0036
Question #16
Acme’s widgets have a defect rate of 3%. Find the probability that 4 widgets are broken in a 12-pack? (Express your answer as a decimal rounded to the nearest ten-thousandth.)
A  0.0004
B  0.0003
C  0.0001
D  0.0002
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Fresh Graduate
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